code: def run(self, image):
      src_img = run_alignment(image)
      src_img = np.asarray(src_img)
      transformed_image = model_cfgs[self.model_type]["transform"](
          src_img
      )
      dst_img, latents = self.generator(
          paddle.to_tensor(transformed_image[None, ...]),
          resize=False,
          return_latents=True,
      )
      dst_img = (dst_img * 0.5 + 0.5)[0].numpy() * 255
      dst_img = dst_img.transpose((1, 2, 0))
      dst_npy = latents[0].numpy()
  
      return dst_img, dst_npy
  
file_path: PaddleHub/modules/image/Image_gan/gan/pixel2style2pixel/model.py
imports: import os
  import cv2
  import scipy
  import random
  import numpy
  import paddle
  import paddle.vision.transforms
  import ppgan.faceutils
  from ppgan.models.generators import Pixel2Style2Pixel
  from ppgan.utils.download import get_path_from_url
  from PIL import Image
label_desc: Use image node_id 2 for calling the Pixel2Style2PixelPredictor obj's underlying member method code with example usage: obj.run(image) and returns: dst_img,  dst_npy